This dataset has everything you need to try your own hand at this task. Can you correctly generate the answer to questions given the Wikipedia article text?

A collection of large datasets containing questions and their answers for use in Natural Language Processing tasks like question answering (QA). Datasets are ...

The Stanford Question Answering Dataset (SQuAD) is a collection of question-answer pairs derived from Wikipedia articles. In SQuAD, the correct answers of ...

The Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset consisting of questions posed by crowdworkers on a set of Wikipedia articles.

Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles ...

Popular benchmark datasets for evaluation question answering systems include SQuAD, HotPotQA, bAbI, TriviaQA, WikiQA, and many others.

Abstract: The dataset is the first to study multi-sentence inference at scale, with an open-ended set of question types that requires reasoning skills.

15 янв. 2021 г. · This article presents the data sets that can be used to train supervised Question Answer models.

The Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles ...

Download. Manually-generated factoid question/answer pairs with difficulty ratings from Wikipedia articles. Dataset includes articles, questions, and answers.